Book Image

Qlik Sense Cookbook

By : Philip Hand, Neeraj Kharpate
Book Image

Qlik Sense Cookbook

By: Philip Hand, Neeraj Kharpate

Overview of this book

<p>This book is an excellent guide for all aspiring Qlik Sense® developers. It will take you through the basics, right through to the use of more advanced functions. With the recipes in this book, you will be empowered to create fully featured desktop applications in Qlik Sense®.</p> <p>Starting with a quick refresher on obtaining data from data files and databases, this book moves on to the more refined features of Qlik Sense®, including visualization, scripting, and set analysis. The tips and tricks provided will help you to overcome challenging situations while developing your applications in Qlik Sense®. This and more will help you to deliver engaging dashboards and reports efficiently.</p> <p>By the end of the book, you will be an expert user of Qlik Sense® and will be able to use its features effectively for business intelligence in an enterprise environment.</p>
Table of Contents (17 chapters)
Qlik Sense Cookbook
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Using Extension editor in Qlik Dev Hub


In the previous chapter, we discussed a recipe to develop a visualization extension in Qlik Sense by writing the code manually in the .js and .qext files. One of the easier methods to develop extension visualization in Qlik Sense is using Extension editor in Qlik Dev Hub.

A Qlik Dev Hub is an integrated development toolbox used for building visualizations and mashup websites. It does not come with a separate installation package, but the editor and the API libraries are provided with Qlik Sense Desktop.

The previous recipe has explained all the basics of the Dev Hub. This recipe will introduce the user to the process of building a basic chart extension using Extension editor in Qlik Dev Hub. The extension workbench supports the .js, .qext, .css, and .html formats.

Getting ready

For the purpose of this recipe,we will make use of an inline data load which gives the sales information for four countries:

  1. Create a new Qlik Sense application and call it QS_DevHub_Extensions...